Pitney Bowes (PBI) Total Current Liabilities (2009 - 2026)
Pitney Bowes' Total Current Liabilities came in at $1.42 billion for Q2 2026, down 4.8% from $1.49 billion a year earlier and down 22.0% from the prior quarter.
Pitney Bowes (PBI) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Pitney Bowes' Total Current Liabilities was $1.55 billion, down 7.5% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $1.67 billion in FY2024 (-11.9%), $1.9 billion in FY2023 (+9.9%), $1.73 billion in FY2022 (unchanged) and $1.73 billion in FY2021 (-7.6%).
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities in data going back to Q2 2009.
- Year-over-year, Total Current Liabilities increased in two of the last eight quarters, with an average decline of 4.3%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2026 (growth of 22.1%), and the weakest in Q3 2025 (a decline of 15.6%).
- Business Quant data shows PBI's Total Current Liabilities at $1.82 billion (Q1 2026), $1.55 billion (Q4 2025) and $1.42 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.69 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 938.10 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 3.00 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 866.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 3.66 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | -6.00 Mn |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 1.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.42 Bn |
| Mar 31, 2026 | 1.82 Bn |
| Dec 31, 2025 | 1.55 Bn |
| Sep 30, 2025 | 1.42 Bn |
| Jun 30, 2025 | 1.49 Bn |
| Mar 31, 2025 | 1.49 Bn |
| Dec 31, 2024 | 1.67 Bn |
| Sep 30, 2024 | 1.68 Bn |
| Jun 30, 2024 | 1.68 Bn |
| Mar 31, 2024 | 1.63 Bn |
| Dec 31, 2023 | 1.90 Bn |
| Sep 30, 2023 | 1.64 Bn |
| Jun 30, 2023 | 1.86 Bn |
| Mar 31, 2023 | 1.80 Bn |
| Dec 31, 2022 | 1.73 Bn |
| Sep 30, 2022 | 1.60 Bn |
| Jun 30, 2022 | 1.63 Bn |
| Mar 31, 2022 | 1.67 Bn |
| Dec 31, 2021 | 1.73 Bn |
| Sep 30, 2021 | 1.69 Bn |
Pitney Bowes Total Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "PBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();